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Record W7062807310

Water budget investigation for FortWhyte Alive

2020· dissertation· en· W7062807310 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsInflowHydrology (agriculture)GroundwaterSurface waterWater qualityOpen waterEvaporation
DOInot available

Abstract

fetched live from OpenAlex

FortWhyte Alive; a protected urban green space located in southwestern Winnipeg has in recent years been experiencing water quality deterioration (eutrophication) in its five (4 interconnected, 1 isolated) endorheic lakes. With the pathways of nutrients to these lakes not fully understood, a water budget (2018 – 2019) investigation was conducted using innovative approaches to identify the contribution of all possible water sources particularly groundwater inflow to the lakes. The interconnected lakes (Devonian, Lake 3, Lake 2, and Muir) formed part of a single sub-basin while Lake Cargill formed part of another sub-basin. Surface inflows to all the lakes were estimated from HOBO water loggers while potential evaporation from the lakes was estimated from stable water isotopes analyses of 100 lake water samples ranging from 0 - 7 m. Surface inflows via Devonian contributed about 31% of the total surface inflow received by the interconnected lakes while contributions via Lake 3 and Muir were 43% and 26% respectively. Surface inflow depth in the interconnected lakes was about 53% of the system’s total inflow while groundwater inflow depth was about 8% of the system’s total inflow. The surface inflow depth in Lake Cargill was about 35% of its total lake inflow with no groundwater inflow. Lakewater loss was about 2.3% of the total outflow. The E: I ratios for the interconnected lakes and Lake Cargill were 0.75 and 1.03 respectively. The high evaporation rates in the lakes and large water residence times (> 3years) contributed to lake eutrophication.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.637

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.203
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it